Know Exactly Who's Watching — and How
Granular audience insights that transform passive screens into measurable media channels.
Audience Measurement
Anonymous, privacy-compliant audience detection powered by computer vision sensors.
- Demographics estimation (age range, gender) without storing PII
- Unique vs. repeat visitor differentiation
- Crowd density and flow-direction analysis
Dwell Time Tracking
Measure how long each viewer engages with your content across every screen.
- Per-content and per-zone dwell duration
- Engagement drop-off curves per asset
- Time-of-day engagement benchmarking
Zone-Level Heatmaps
Visualise foot traffic and attention density across your physical space.
- Spatial heatmaps overlaid on floor plans
- Hotspot identification for screen placement optimisation
- Cross-zone journey mapping
Attention Scoring
Composite engagement scores that compare content performance at a glance.
- Weighted scoring across dwell, glance, and interaction
- Benchmark against historical campaign averages
- Exportable attention reports for stakeholders
Prove What Works. Optimise What Doesn't.
Move beyond impressions. Measure real-world content effectiveness with precision.
Content Effectiveness Metrics
Understand which assets drive engagement, footfall, or conversion lift.
- Per-asset engagement rate tracking
- Cross-location performance comparison
- Creative fatigue detection and alerts
A/B Testing
Run controlled experiments across screens, zones, or locations.
- Split-test creative variants with statistical confidence
- Auto-rotate winners based on live performance
- Multi-variate testing for layout and messaging
Daypart Analysis
Discover which content performs best at different times of day.
- Hourly, daily, and weekly engagement breakdowns
- Automated dayparting recommendations
- Seasonal trend identification
Conversion Attribution
Connect screen exposure to downstream actions and business outcomes.
- QR code and NFC tap-through tracking
- POS integration for sales-lift correlation
- Multi-touch attribution modelling
Fix It Before It Breaks
AI-driven monitoring that keeps your network healthy and your team proactive.
Device Health Monitoring
Real-time telemetry from every player, screen, and peripheral in your network.
- CPU, memory, storage, and temperature dashboards
- Network throughput and latency tracking
- Peripheral status (USB, GPIO, sensor feeds)
Failure Prediction
Machine learning models that identify hardware degradation before failure.
- Anomaly detection on device performance baselines
- MTBF (mean-time-between-failure) forecasting
- Risk-scored device fleet overview
Proactive Alerting
Get notified at the right time, via the right channel, with the right urgency.
- Severity-tiered alerts (info, warning, critical)
- Escalation chains with SMS, email, and webhook
- Suppression rules to avoid alert fatigue
Maintenance Scheduling
Plan hardware servicing around your operation, not around outages.
- Predictive maintenance windows based on usage data
- Automated work-order creation for field teams
- Spare-parts forecasting by device model
Screens That Think for Themselves
Context-aware intelligence that adapts content in real time — no manual scheduling required.
Real-Time Decision Making
Evaluate conditions and trigger content changes in under 200ms.
- Rule engine with AND/OR/NOT logic operators
- Time, weather, inventory, and sensor-based triggers
- Priority-weighted decision trees
Context-Aware Content Triggers
React to the world around the screen — weather, crowd size, even POS data.
- External data-feed integration (APIs, MQTT, webhooks)
- Geofence and proximity-based triggers
- Event-calendar and holiday-aware scheduling
Dynamic Scene Selection
Automatically assemble scenes from a content library based on live conditions.
- Template-driven dynamic composition
- Asset-pool rotation with frequency caps
- Fallback content for offline or error states
Continuous Optimisation
Closed-loop learning that improves content performance over time.
- Reinforcement-learning content ranking
- Automatic creative retirement at fatigue threshold
- Weekly optimisation reports with actionable insights